Our proposed scheme aims to optimize the unloading decision of the tasks among all users and the allocation of computing and communication resources.
Our proposed scheme aims to optimize the unloading decision of the tasks among all users and the allocation of computing and communication resources.
In this paper, we propose a cooperative task offloading scheme for the UAV-enabled MEC systems. Specifically, we consider a UAV-enabled MEC system consisting ...
Apr 18, 2022 · This article focuses on solving the problem of computing resource allocation for multiple mobile users of a UAV, an edge server, and a remote ...
The minimization of energy consumption and delay is formulated to consider UAV offloading, edge server computing cost, and communication processing delay, in ...
Jun 18, 2024 · Regrettably, there have been few studies that take into account the joint design of system resource allocation and real-time UAV trajectory ...
Our proposed scheme aims to optimize the unloading decision of the tasks among all users and the allocation of computing and communication resources.
propose a partial offloading scheduling and power allocation approach for single user MEC system and jointly minimize the task execution delay and energy ...
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In this paper, a multi-UAV-assisted mobile edge computing (MEC) system is considered where multiple UAVs cooperate to provide a service to IoT devices.
Mar 8, 2023 · In [12], the authors propose to minimize the maximum delay during UAV-enabled edge computing, by jointly investigating the UAV trajectory, ...